Estimation of the human pose from a monocular camera has been an emerging research
topic in the computer vision community with many applications. Recently, benefiting from the …

Human pose estimation localizes body keypoints to accurately recognizing the postures of
individuals given an image. This step is a crucial prerequisite to multiple tasks of computer …

Recent transformer-based solutions have shown great success in 3D human pose
estimation. Nevertheless, to calculate the joint-to-joint affinity matrix, the computational cost …

Abstract 3D human pose estimation has been researched for decades with promising fruits.
3D human pose lifting is one of the promising research directions toward the task where …

Human pose is typically represented by a coordinate vector of body joints or their heatmap
embeddings. While easy for data processing, unrealistic pose estimates are admitted due to …

Realtime multi-person 2D pose estimation is a key component in enabling machines to have
an understanding of people in images and videos. In this work, we present a realtime …

The topic of multi-person pose estimation has beenlargely improved recently, especially with
the developmentof convolutional neural network. However, there still exista lot of …

We present a box-free bottom-up approach for the tasks of pose estimation and instance
segmentation of people in multi-person images using an efficient single-shot model. The …

Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

Action recognition and human pose estimation are closely related but both problems are
generally handled as distinct tasks in the literature. In this work, we propose a multitask …